Výsledky vyhľadávania - (( (state OR stat) python code analysis ) OR ( (statement OR state:oh) python code analysis ))*

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  1. 1

    VeVaPy, a Python Platform for Efficient Verification and Validation of Systems Biology Models with Demonstrations Using Hypothalamic-Pituitary-Adrenal Axis Models Autor Parker, Christopher, Nelson, Erik, Zhang, Tongli

    ISSN: 1099-4300, 1099-4300
    Vydavateľské údaje: Switzerland MDPI AG 29.11.2022
    Vydané v Entropy (Basel, Switzerland) (29.11.2022)
    “… VeVaPy includes four functional modules coded in Python, and the source code is publicly available…”
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    Journal Article
  2. 2

    SNPAAMapper-Python: A highly efficient genome-wide SNP variant analysis pipeline for Next-Generation Sequencing data Autor Li, Chang, Ma, Kevin, Xu, Nicole, Fu, Chenjian, He, Andrew, Liu, Xiaoming, Bai, Yongsheng

    ISSN: 2624-8212, 2624-8212
    Vydavateľské údaje: Frontiers Media S.A 12.09.2022
    Vydané v Frontiers in artificial intelligence (12.09.2022)
    “… In this study, we updated SNPAAMapper, a variant annotation pipeline by converting perl codes to python for generating annotation output with an improved computational efficiency and updated…”
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    Journal Article
  3. 3

    Percolation theory using Python Autor Malthe-Sørenssen, Anders

    ISBN: 3031598997, 9783031598999, 3031599004, 9783031599002
    Vydavateľské údaje: Cham Springer 2024
    “… Readers will learn how to generate, analyze, and comprehend data and models, with detailed theoretical discussions complemented by accessible computer codes…”
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    E-kniha Kniha
  4. 4

    lefser: implementation of metagenomic biomarker discovery tool, LEfSe, in R Autor Khleborodova, Asya, Gamboa-Tuz, Samuel D, Ramos, Marcel, Segata, Nicola, Waldron, Levi, Oh, Sehyun

    ISSN: 1367-4811, 1367-4803, 1367-4811
    Vydavateľské údaje: England Oxford University Press 28.11.2024
    Vydané v Bioinformatics (Oxford, England) (28.11.2024)
    “…Summary LEfSe is a widely used Python package and Galaxy module for metagenomic biomarker discovery and visualization, utilizing the Kruskal…”
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    Journal Article
  5. 5

    Decoding the JAK-STAT Axis in Colorectal Cancer with AI-HOPE-JAK-STAT: A Conversational Artificial Intelligence Approach to Clinical–Genomic Integration Autor Yang, Ei-Wen, Waldrup, Brigette, Velazquez-Villarreal, Enrique

    ISSN: 2072-6694, 2072-6694
    Vydavateľské údaje: Switzerland MDPI AG 17.07.2025
    Vydané v Cancers (17.07.2025)
    “…: AI-HOPE-JAK-STAT combines large language models (LLMs), a natural language-to-code engine, and harmonized public CRC datasets from cBioPortal…”
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    Journal Article
  6. 6

    Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial Autor Smith, Matthew J., Mansournia, Mohammad A., Maringe, Camille, Zivich, Paul N., Cole, Stephen R., Leyrat, Clémence, Belot, Aurélien, Rachet, Bernard, Luque‐Fernandez, Miguel A.

    ISSN: 0277-6715, 1097-0258, 1097-0258
    Vydavateľské údaje: England Wiley Subscription Services, Inc 30.01.2022
    Vydané v Statistics in medicine (30.01.2022)
    “…The main purpose of many medical studies is to estimate the effects of a treatment or exposure on an outcome. However, it is not always possible to randomize…”
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    Journal Article
  7. 7

    LiPydomics: A Python Package for Comprehensive Prediction of Lipid Collision Cross Sections and Retention Times and Analysis of Ion Mobility-Mass Spectrometry-Based Lipidomics Data Autor Ross, Dylan H, Cho, Jang Ho, Zhang, Rutan, Hines, Kelly M, Xu, Libin

    ISSN: 1520-6882
    Vydavateľské údaje: United States 17.11.2020
    Vydané v Analytical chemistry (Washington) (17.11.2020)
    “… Existing solutions for these data analysis challenges (i.e., multivariate statistics and lipid identification…”
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    Journal Article
  8. 8

    Statistics Using Python Autor Campesato, Oswald

    ISBN: 9781683928805, 1683928806
    Vydavateľské údaje: Berlin Mercury Learning and Information 2024
    “…This book is designed to offer a fast-paced yet thorough introduction to essential statistical concepts using Python code samples, and aims to assist data scientists in their daily endeavors…”
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    E-kniha
  9. 9

    GSEApy: a comprehensive package for performing gene set enrichment analysis in Python Autor Fang, Zhuoqing, Liu, Xinyuan, Peltz, Gary

    ISSN: 1367-4811, 1367-4803, 1367-4811
    Vydavateľské údaje: England Oxford University Press 01.01.2023
    Vydané v Bioinformatics (Oxford, England) (01.01.2023)
    “…Abstract Motivation Gene set enrichment analysis (GSEA) is a commonly used algorithm for characterizing gene expression changes…”
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    Journal Article
  10. 10

    PyLAT: Python LAMMPS Analysis Tools Autor Humbert, Michael T, Zhang, Yong, Maginn, Edward J

    ISSN: 1549-960X
    Vydavateľské údaje: United States 22.04.2019
    “… Here we describe a suite of open-source Python-based postprocessing routines we have developed called PyLAT…”
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    Journal Article
  11. 11

    Pyteomics—a Python Framework for Exploratory Data Analysis and Rapid Software Prototyping in Proteomics Autor Goloborodko, Anton A., Levitsky, Lev I., Ivanov, Mark V., Gorshkov, Mikhail V.

    ISSN: 1044-0305, 1879-1123, 1879-1123
    Vydavateľské údaje: New York Springer-Verlag 01.02.2013
    “…Pyteomics is a cross-platform, open-source Python library providing a rich set of tools for MS-based proteomics…”
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    Journal Article
  12. 12

    Digitizing ECG image: A new method and open-source software code Autor Fortune, Julian D., Coppa, Natalie E., Haq, Kazi T., Patel, Hetal, Tereshchenko, Larisa G.

    ISSN: 0169-2607, 1872-7565, 1872-7565
    Vydavateľské údaje: Ireland Elsevier B.V 01.06.2022
    “… asynchronous ECG leads.•We provided open-source Python code that will facilitate further development of the tool…”
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    Journal Article
  13. 13

    VULCAN: An Open-source, Validated Chemical Kinetics Python Code for Exoplanetary Atmospheres Autor Tsai, Shang-Min, Lyons, James R., Grosheintz, Luc, Rimmer, Paul B., Kitzmann, Daniel, Heng, Kevin

    ISSN: 0067-0049, 1538-4365
    Vydavateľské údaje: United States The American Astronomical Society 01.02.2017
    “…We present an open-source and validated chemical kinetics code for studying hot exoplanetary atmospheres, which we name VULCAN…”
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    Journal Article
  14. 14

    Resolving single-cell heterogeneity from hundreds of thousands of cells through sequential hybrid clustering and NMF Autor Venkatasubramanian, Meenakshi, Chetal, Kashish, Schnell, Daniel J, Atluri, Gowtham, Salomonis, Nathan

    ISSN: 1367-4803, 1367-4811, 1460-2059, 1367-4811
    Vydavateľské údaje: England Oxford University Press 01.06.2020
    Vydané v Bioinformatics (01.06.2020)
    “… Results We describe a new iteration of ICGS that outperforms state-of-the-art scRNA-Seq detection workflows when applied…”
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    Journal Article
  15. 15

    Towards Effective Static Type-Error Detection for Python Autor Oh, Wonseok, Oh, Hakjoo

    ISSN: 2643-1572
    Vydavateľské údaje: ACM 27.10.2024
    “… This empirical investigation revealed four key static-analysis features that are crucial for the effective detection of Python type errors in practice…”
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    Konferenčný príspevok..
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    From code to reliability: Python-powered Paraconsistent Logic for alarm detection in the power gris/ Do codigo a confiabilidade: Logica Paraconsistente impulsionada por Python para a deteccao de alarmes na rede de energia Autor de Oliveira, Joseffe Barroso, Gino, Joao Vitor Santa Rosa, de Lima, Carlos Jose, Filho, Joao Inacio da Silva

    ISSN: 2178-9010, 2178-9010
    Vydavateľské údaje: Sindicato das Secretarias e Secretarios do Estado de Sao Paulo 01.10.2023
    “… This application enables the comparison of triggered alarms with the resultant logical states obtained during the analysis…”
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    Journal Article
  17. 17

    RPMDrate: Bimolecular chemical reaction rates from ring polymer molecular dynamics Autor Suleimanov, Yu.V., Allen, J.W., Green, W.H.

    ISSN: 0010-4655, 1879-2944
    Vydavateľské údaje: Elsevier B.V 01.03.2013
    Vydané v Computer physics communications (01.03.2013)
    “… (centroid density quantum transition state theory (QTST) rate) and a dynamic (ring polymer transmission coefficient) factor…”
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    Journal Article
  18. 18

    stk: A python toolkit for supramolecular assembly Autor Turcani, Lukas, Berardo, Enrico, Jelfs, Kim E.

    ISSN: 0192-8651, 1096-987X, 1096-987X
    Vydavateľské údaje: Hoboken, USA John Wiley & Sons, Inc 05.09.2018
    Vydané v Journal of computational chemistry (05.09.2018)
    “… stk is a modular, extensible and open‐source Python library that provides a simple Python API and integration with third party computational codes…”
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    Journal Article
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    MechElastic: A Python library for analysis of mechanical and elastic properties of bulk and 2D materials Autor Singh, Sobhit, Lang, Logan, Dovale-Farelo, Viviana, Herath, Uthpala, Tavadze, Pedram, Coudert, François-Xavier, Romero, Aldo H.

    ISSN: 0010-4655, 1879-2944
    Vydavateľské údaje: United States Elsevier B.V 01.10.2021
    Vydané v Computer physics communications (01.10.2021)
    “…The MechElastic Python package evaluates the mechanical and elastic properties of bulk and 2D materials using the elastic coefficient matrix (Cij…”
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    Journal Article
  20. 20

    scFates: a scalable python package for advanced pseudotime and bifurcation analysis from single-cell data Autor Faure, Louis, Soldatov, Ruslan, Kharchenko, Peter V, Adameyko, Igor

    ISSN: 1367-4811, 1367-4803, 1367-4811
    Vydavateľské údaje: England Oxford University Press 01.01.2023
    Vydané v Bioinformatics (Oxford, England) (01.01.2023)
    “…Abstract Summary scFates provides an extensive toolset for the analysis of dynamic trajectories comprising tree learning, feature association testing, branch differential expression and with a…”
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    Journal Article